Tiled Convolution
A library for performing convolution on large 2D arrays.
Uses a tiled approach to break the convolution into batches, which reduces maximum memory usage.
Installation
from pypi
pip install tiled_convolution
from source
pip install https://github.com/RichieHakim/tiled_convolution.git
or
git clone https://github.com/RichieHakim/tiled_convolution
cd tiled_convolution
pip install -e .
1 maintainer
Metadata
1 maintainer
Release files for tiled-convolution 0.1.1
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| tiled_convolution-0.1.1.tar.gz | 11.6 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| tiled_convolution-0.1.1-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 17.8 kB
Release files / tiled_convolution-0.1.1.tar.gz
| Download URL | tiled_convolution-0.1.1.tar.gz |
|---|---|
| Size | 11.6 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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Transparency logRelease files / tiled_convolution-0.1.1-py3-none-any.whl
| Download URL | tiled_convolution-0.1.1-py3-none-any.whl |
|---|---|
| Size | 6.2 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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| Upload date | |
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Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/6.1.0 CPython/3.12.9
|
Provenance
Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.
PyPI Publish Attestation
PyPI verified that this artifact, at this checksum, originated from the publisher listed below.
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